Latest AI and machine learning research in covid-19 for healthcare professionals.
Sjögren's Syndrome (SS) is a long-term autoimmune disorder marked by damage to exocrine glands and i...
Urban agglomeration (UA) development exacerbates heavy metal contamination in farmland soils. Spatia...
Prostate cancer is among the most diagnosed malignancies in men worldwide and a leading cause of can...
Mask-integrated respiratory sensors are promising for noninvasive monitoring of respiratory health o...
PURPOSE: Germline pathogenic variants (GPV) are frequently identified as secondary findings in cance...
UNLABELLED: Acute exacerbation of chronic obstructive pulmonary disease (AECOPD) is characterized by...
Infectious diseases remain a major global public health concern, demanding rapid and accurate identi...
BACKGROUND: Osteoporosis (OP) is characterized by decreased bone mineral density and an increased fr...
Chimeric antigen receptor natural killer (CAR-NK) cell therapy is an emerging cancer treatment offer...
OBJECTIVE: Wearable biosignal-based hand gesture recognition (HGR) is a key enabling technology ...
The pharmacokinetic literature is rich in aggregated concentration data that contain valuable inform...
MOTIVATION: Predicting immunoglobulin-antigen (Ig-Ag) binding remains a significant challenge due to...
Deep learning models leveraging human activity data, such as gait, have shown promise for dementia p...
OBJECTIVE: To enable accurate 3D morphological assessment and support clinical decision making, DIVA...
BACKGROUND: Epigenetic modifications play a vital role in the pathogenesis of human diseases, partic...
Chimeric Antigen Receptor T-cell (CAR-T) therapy has revolutionized the treatment of B-cell malignan...
BACKGROUND: Several Left Ventricular Assist Device (LVAD) risk models exist however, currently there...
Minor salivary gland biopsy occupies a distinctive position in the evaluation of Sjögren disease (Sj...
Radiomics seeks to convert medical images into quantitative biomarkers capable of capturing tumor ph...
To develop an interpretable, multi-parameter machine learning (ML) model that integrates plaque morp...
Medical image registration serves as a cornerstone for precision diagnosis and treatment, particular...